Finance Data Scientist

Hitachi Energy; Kraków; Hybrid; PLN 180,000 - 240,000; Full time

Job summary

Hitachi Energy in Kraków is seeking a Finance Data Scientist to join the Finance Data & Analytics team. This hybrid role blends analytics with corporate finance to deliver analytics products and data-driven insights for financial processes.

You will design, build, and maintain ML models for forecasting, profitability, cash flow, and scenario analysis while creating robust data pipelines and ensuring governance across Finance.

Qualifications

• 3–5 years of experience in data science, analytics, or quantitative analysis.
• Strong proficiency in Python and SQL with data science libraries.
• Experience with finance, ERP data, and cross‑functional collaboration is preferred.

Responsibilities

• Design, build, and maintain analytical and ML models for forecasting, profitability and cash‑flow modeling.
• Create reliable data pipelines connecting ERP, planning and external datasets.
• Ensure model governance, validation, documentation, and performance monitoring.
• Promote data and analytics best practices within Finance and support tool adoption.

Skills

Python

SQL

Machine Learning

Data storytelling

Education

Bachelor's in Data Science

Master's in Data Science

Finance/Economics with DS training

Tools

Pandas

Scikit-learn

Job description

The Opportunity

We are seeking a Finance Data Scientist to join our Finance Data & Analytics team. This hybrid role combines advanced analytical and modelling skills with strong finance understanding. You will help deliver our Finance analytics and AI roadmap, build scalable analytical products, and embed data-driven insights into financial processes.

This is a unique opportunity to contribute to a newly established global capability, working on high-impact initiatives that shape the future of Finance.

How You'll Make An Impact

• Design, build, and maintain analytical and machine learning models for core Finance use cases such as forecasting, profitability and cash‑flow modeling, scenario analysis, and decision support. Translate complex business questions into structured analytical approaches and deliver insights that influence decision‑making.
• Collaborate with IT and data teams to design and maintain reliable data pipelines connecting ERP, CRM, planning, operational, and external datasets. Ensure data availability, quality, and readiness for analytical and modelling use cases.
• Ensure robust model governance, including versioning, validation, documentation, and ongoing performance monitoring. Serve as the capability owner for selected analytical solutions, ensuring their stability, relevance, and continuous improvement.
• Promote data and analytics best practices within the global Finance community. Support stakeholders in adopting new analytical tools and insights and contribute to the maturation of Finance’s data‑driven capabilities.
• Responsible for ensuring compliance with applicable external and internal regulations, procedures, and guidelines.
• Living Hitachi Energy’s core values safety and integrity, which means taking responsibility for your own actions while caring for your colleagues and the business.

Your Background

• Bachelor’s or master’s degree in data science, Applied Mathematics, Statistics, or related field with exposure to corporate finance, FP&A, or financial modeling, Alternatively, a Finance or Economics degree complemented by data science training or certifications.
• 3 - 5 years of experience in data science, analytics, or quantitative analysis.
• Strong proficiency in Python, SQL, and analytical libraries.
• Experience with machine learning development, including model design, training, testing, and evaluation.
• Familiarity with financial and ERP data structures and the ability to work with complex multi‑source datasets.
• Understanding of financial statements and processes.
• Strong analytical and problem‑solving skills, ability to frame business questions into analytical solutions.
• Clear, structured communication skills, including the ability to translate technical insights for non‑technical audiences.
• Proactive, curious, and comfortable operating in a dynamic and evolving environment.
• Collaborative mindset with strong business partnering abilities.
• Experience working in a multinational, matrix organizational environment.
• Proficiency in both spoken & written English language is required.